Autonomous Path Planning Using External Camera Coverage
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Solution Overview
Problem
There is a demand for technologies that can efficiently create a movement plan for autonomous moving bodies based on the image capturing range of external image capturing systems, such as monitoring cameras, to effectively reduce the risk of invasion and optimize movement paths.
Innovation Solution
An information processing apparatus and method that includes a control unit with a processor and memory to receive image capture range information from external imaging devices, calculate a movement path, and control the movement device accordingly, allowing the moving body to navigate within the calculated path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a movement plan is created without considering external image capturing range information, then the planning process is simple and fast, but the movement path may not optimize security monitoring coverage and risk reduction
Solution Approach 1:
The system performs preliminary acquisition of image capturing range information from external imaging devices before calculating the movement path. This allows the movement plan to be optimized for security monitoring coverage in advance, ensuring the moving body passes through regions that can be effectively monitored while reducing the need for complex real-time adjustments during execution
Solution Approach 2:
The system introduces image capture range information as an intermediary parameter that mediates between the movement requirements and security monitoring objectives. This intermediary data layer enables the path planning algorithm to optimize routes based on monitoring coverage without directly coupling the complexity of imaging device control with the movement control system
2Reliability
If the movement path is optimized to pass through image capturing ranges, then the risk of invasion is reduced, but the movement time and path length may increase
Solution Approach 1:
The system changes the parameters used in path planning by incorporating image capture range information as a weighting factor. Instead of optimizing solely for shortest path or fastest time, the algorithm adjusts path parameters to balance monitoring coverage requirements with efficient movement, finding optimal routes that satisfy both security and time constraints
Solution Approach 2:
The system applies partial optimization by focusing on key segments of the movement path that pass through or near image capturing ranges. Rather than requiring every portion of the path to be perfectly optimized for monitoring coverage, the system identifies and optimizes critical zones, allowing efficient transit through less critical areas while maintaining overall risk reduction
Data Source
AI summary
There is provided methods and apparatus for a path planning system. The apparatus comprises a body and a movement device attached thereto, wherein the body comprises a control unit in communication with the movement device, the control unit comprising at least one processor and a memory configured to store instructions. The instructions, when executed by the at least one processor, cause the at least one processor to receive image capture range information for one or more imaging devices located external to the apparatus, calculate a movement path for the apparatus based, at least in part, on the received image capture range information, and control the movement device to move the apparatus in accordance with the calculated movement path.